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cleanzr · Oct 12, 2020 · 83e1a4c · 83e1a4c
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -17,7 +17,7 @@ Suggests:
     ggplot2,
     rmarkdown
 VignetteBuilder: knitr
-Description: An implementation of the blocking algorithm KLSH in Steorts, Ventura, Sadinle, Fienberg (2014) <https://doi.org/10.1007/978-3-319-11257-2_20>, which is a k-means variant of locality sensitive hashing. The method is illustrated with examples and a vignette. 
+Description: An implementation of the blocking algorithm KLSH in Steorts, Ventura, Sadinle, Fienberg (2014) <10.1007/978-3-319-11257-2_20>, which is a k-means variant of locality sensitive hashing. The method is illustrated with examples and a vignette. 
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 License: GPL-3

diff --git a/vignettes/klsh.Rmd b/vignettes/klsh.Rmd
@@ -10,7 +10,7 @@ vignette: >
   %\VignetteEngine{knitr::rmarkdown}
   %\usepackage[utf8]{inputenc}
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-We present a small example from Steorts, R., Ventura, S., Sadinle, M., and Fienberg, S. (2014). "Blocking Comparisons for Record Linkage." Privacy in Statistical Databases (Lecture Notes in Computer Science 8744), ed. J Domingo-Ferrer, Springer, 252-268, <https://doi.org/10.1007/978-3-319-11257-2_20>. We will be using the blink package in R and the RLdata500 data set, which was previously available in the Record Linkage package (but has been deprecated).
+We present a small example from Steorts, R., Ventura, S., Sadinle, M., and Fienberg, S. (2014). "Blocking Comparisons for Record Linkage." Privacy in Statistical Databases (Lecture Notes in Computer Science 8744), ed. J Domingo-Ferrer, Springer, 252-268, \doi{10.1007/978-3-319-11257-2_20}. We will be using the blink package in R and the RLdata500 data set, which was previously available in the Record Linkage package (but has been deprecated).
 
 In a record linkage task one wants to remove duplicate 
 entries from multiple databases. However, before performing this task, one needs to perform a means of dimension reduction so that the record linkage task is computationally scalable.